178,090 research outputs found
Until I See Your Dream In Dark Skies: About spaces and intentions, real and virtual
No full textThis visual essay and accompanying text explores the work of the Belgian assemblage artist Camiel Van Breedam through a series of dialogues: between Van Breedam’s personal archive of waste material, and the works that he has shaped out of it; through the very different works that Remco Roes has himself made using that same archive; through the relationship between the two-dimensional images that make up the visual essay, and the complex three-dimensional spaces they seek both to articulate and to conceal; and through the ensuing conversation between Roes and Peter Snowdon, which itself simultaneously explicates, complicates, revises and evades the visual modes of knowledge developed by the images. In this dialogue, it is suggested that none of these spaces – whether tactile, visual or verbal – can exist apart from the particular bodies that engage them as their “sole locus of reference,”and that the dark space where the raw, fragmentary material is collected and conserved is never exhausted by the emergent work, but persists and insists as its ground and its condition. The result is not a commentary or an analysis, in images or in words, but a form of resonance between interiority as a sensory practice, and the exposed surfaces of the always-provisional artistic work.Global Challenges (FSW
Histogram of confidences for person detection
No full textThis paper focuses on the problem of person detection in harsh industrial environments. Different image regions often have different requirements for the person to be detected. Additionally, as the environment can change on a frame to frame basis even previously detected people can fail to be found. In our work we adapt a previously trained classifier to improve its performance in the industrial environment. The classifier output is initially used an image descriptor. Structure from the descriptor history is learned using semi-supervised learning to boost overall performance. In comparison with two state of the art person detectors we see gains of 10%. Our approach is generally applicable to pretrained classifiers which can then be specialised for a specific scen
Conversations between Interiors
No full text The point of departure of this article is a collaborative installation work in whose creation one of the authors (Remco Roes) participated. The article combines a visual essay, composed from images documenting both the final exhibition and the process leading up to it, and a written commentary that attempts to point at—or point out—how knowledge or thinking may occur within or through a sequence of images such as this. These two essays, and the oblique relationship between them, are designed to shed light not only on one specific work of art but, more generally, on how we may inhabit different kinds of interiors, whether or not they are purely “physical.” It also reflects on the visual essay genre as itself a way of thinking through artistic, design and philosophical problems. </jats:p
When congestion can be useful: modelling driver diversion behaviour in road traffic networks
No full textThe ability to accurately predict driver route choices is an important part of traffic assignment, the process of forecasting traffic flows on roads across a region. Many assignment methods only consider the presence of recurrent forms of congestion, such as during rush hour periods, and fail to incorporate non-recurrent congestion effects caused by irregular events such as road traffic accidents. This paper proposes an agent based driver route choice model which includes driver reactions to the presence of non-recurrent congestion, supposing that drivers learn relationships between congestion locations and adjust their expectation of network travel times en-route, potentially choosing to divert. By simulating an example network with mixed populations consisting of agents capable of diverting and not, the result is found that initially increasing the proportion of diverting agents from zero is beneficial to the system as might be expected, reducing the number of vehicles navigating the incident affected area, but beyond a tipping point agents can no longer perceive the presence of congestion prior to diverting and network performance decreases. The model not only demonstrates the conflict between agents adopting travel time reducing behaviour and its impact on system performance, but it also highlights the importance of modelling driver knowledge appropriately to reproduce plausible phenomena in simulation
Comments on, Scaled Random Number Simulation of High Correlation Coeffieients for Gasoline Range Compound Concentrations (unpublished results), disclosed in EarthArXiv, 5 April, 2019, by Lloyd R. Snowdon.
No full textThe paper comments on disclosure EarthArXiv 5 April, 2019 by L. R. Snowdon discounting correlations between light hydrocarbons suggesting steady-state catalysis in the origin of petroleum. The correlations are shown to be valid and Snowdon's arguments not relevant
The New Classical Counter-Revolution: False Path or Illuminating Complement?
No full textIn this paper the author responds to Laurence Seidman’s recent article, ‘The New Classical Counter-Revolution: A False Path for Macroeconomics’. The author challenges the view that new classical macroeconomics has been a false path and provides a critique of Seidman’s arguments with respect to his interpretation of the 1970s ‘stagflation’, the relevance of new classical macroeconomics for practical policymaking, the contribution of real business cycle theory, and the new classical content of contemporary macroeconomic textbooks. The author concludes that the new classical counter-revolution has had an extremely productive influence on the current mainstream new neoclassical synthesis framework.
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